bioRxivBioinformaticsPreprint
RichPathR: a gene set enrichment analysis and visualization tool
Binod RegmiiD, Stephen R. BrooksiD, ANDREW J. UHLMAN, Hong‐Wei SuniD
- Citations
- 0
Abstract
Gene set enrichment analysis (GSEA) is an important step for disease and drug discovery. Genomic, transcriptomics, proteomics and epigenetic analysis of tissue or cells generates gene lists that need to be further investigated in the known biological context. The advent of high-throughput technologies generates the vast number of gene lists that are up or down regulated together. One way of getting meaningful insights of the relationship of these genes is utilizing existing knowledge bases linking them with biological functions or phenotypes. Multiple public databases with annotated gene sets are available for GSEA, and enrichR is the most popular web application still requiring custom tools for large-scale mining. richPathR package is a collection of R functions that helps researchers carry out exploratory analysis and visualization of gene set enrichment using EnrichR. AvailabilityThe package, test data and additional figures can be downloaded from https://github.com/niams-bdmds/richPathR.git. Contactsunh1@nih.gov
- assay: proteomics
- assay: bulk RNA-seq
- assay: DNA methylation
- research focus: benchmarking
- research focus: gene regulatory network inference
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Combining multiple tools outperforms individual methods in gene set enrichment analyses
Monther Alhamdoosh, Milica Ng, … Matthew E. Ritchie·bioRxiv·Jul 8, 2016
- hypeR: An R Package for Geneset Enrichment Workflows
Anthony N. Federico, Stefano Monti·BioinformaticsPeer-reviewed·Sep 5, 2019
- Fast gene set enrichment analysis
Gennady Korotkevich, Vladimir Sukhov, … Alexey Sergushichev·bioRxiv·Feb 1, 2021
- GeDi: Simplifying Gene Set Distances for Enhanced Omics Interpretation in R/Bioconductor
Annekathrin Silvia Nedwed, Arsenij Ustjanzew, … Fédérico Marini·BMC BioinformaticsPeer-reviewed·Dec 7, 2025
- pathfindR: An R Package for Pathway Enrichment Analysis Utilizing Active Subnetworks
Ege Ülgen, Ozan Özışık, Osman Uğur Sezerman·Frontiers in GeneticsPeer-reviewed·Sep 25, 2019
- GSEA-InContext Explorer: An interactive visualization tool for putting gene set enrichment analysis results into biological context.
Rani K. Powers, Anthony Sun, James C. Costello·bioRxiv·Jun 4, 2019